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arXiv 2108.13330math.NAcs.NAmath-phmath.MP
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三维Stokes流高精度正则化方法

A Novel Regularization for Higher Accuracy in the Solution of 3D Stokes Flow

J. Thomas Beale, Christina Jones, Jillian Reale, Svetlana Tlupova

摘要:

流体动力学中的许多问题被有效地建模为斯托克斯流-低速粘性流,其中雷诺数很小。边界积分方程常用于求解这些问题,其中流体速度的基本解是Stokeslet和应力波。计算边界积分的主要挑战之一是核在表面上变得奇异。Tlupova和Beale,JCP(2019)开发了一种正则化方法,该方法通过Stokeslet和应力波积分的校正项来消除奇异性并减少数值误差。在这项工作中,我们建立在以前开发的方法,引入一个新的应力波正则化,更简单,结果更高的精度时,在表面上进行评估。我们的正则化将由具有两个条件和两个未知数的方程产生的七次多项式替换为由具有一个条件和一个未知数的方程产生的五次多项式。数值实验表明,新的正则化保留了相同的收敛阶Tlupova和Beale开发的正则化,但显示出一个减少的误差幅度。

英文摘要:

Many problems in fluid dynamics are effectively modeled as Stokes flows - slow, viscous flows where the Reynolds number is small. Boundary integral equations are often used to solve these problems, where the fundamental solutions for the fluid velocity are the Stokeslet and stresslet. One of the main challenges in evaluating the boundary integrals is that the kernels become singular on the surface. A regularization method that eliminates the singularities and reduces the numerical error through correction terms for both the Stokeslet and stresslet integrals was developed in Tlupova and Beale, JCP (2019). In this work we build on the previously developed method to introduce a new stresslet regularization that is simpler and results in higher accuracy when evaluated on the surface. Our regularization replaces a seventh-degree polynomial that results from an equation with two conditions and two unknowns with a fifth-degree polynomial that results from an equation with one condition and one unknown. Numerical experiments demonstrate that the new regularization retains the same order of convergence as the regularization developed by Tlupova and Beale but shows a decreased magnitude of the error.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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